We computed the FID and IS scores of synthesised images for ClebeA and CIFAR-10 datasets with resolutions of 64 x 64 and 32 x 32, respectively. Table 4 shows the performance of our model baseline (BL) for different combinations of attention schemes (PAM and \(M_F\) ) and the IQA losses (NIQE and SSIM). By observation, we see from Table 4 that including the \(M_F\)  module significantly boost image quality, this is a confirmation that perceptual spatial salient maps are crucial in GAN models for better image quality [1]}, [2]}, [3]}.
